Addresses the A2 review:
1. Every dolt subprocess is now bounded by a hard timeout
(dolt_command_timeout_seconds, default 600s); on expiry the process is killed
and DoltError raised — a hung pull/sql can no longer pin the import
connection and advisory lock indefinitely. Tested (timeout + non-zero exit).
2. Initial-load validate is stronger: besides zero-future, an initial load now
requires a real forward horizon (>= 21d, under the ~35d observed on the
clone) AND universe coverage >= 50% (a broken symbol join can't seed a hollow
calendar). Subsequent runs keep the 50% collapse gate.
3. Revision uses DOLT_HASHOF('HEAD') — formally HEAD, not dolt_log-by-timestamp.
4. Free-disk floor raised 2 GB -> 5 GB (safe headroom over the ~1.7 GB clone).
Full suite 702 passed.
Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com>
A SourceImporter that ingests post-no-preference/earnings into earnings_events
for the tracked universe. Shadow by construction (nothing reads earnings_events
until A4).
- earnings_alignment.py: pure calendar<->EPS-history min-cost monotonic DP,
reused from scripts/import_dolthub_earnings.py with identical constants (not
extending that one-off script); symbol/session normalization; unit-tested
against the pinned constants.
- dolt_client.py: async dolt CLI wrapper (pull / current_commit / query_csv via
asyncio.create_subprocess_exec — never blocks the shared event loop) + disk
guard before pull.
- dolt_earnings_importer.py: detect_revision = pull + HEAD hash; stage = query
earnings_calendar + eps_history, dedup, align, map act_symbol->ticker_id
(normalize both sides so dotted BRK.B joins); promote is destructive
(delete future dolt_earnings rows + upsert; past never deleted) so validate is
FAIL-CLOSED — blocks when the staged forward calendar is empty or has collapsed
below 50% of what's loaded (the forward calendar is the acceptance gate).
- NOTICE: CC BY-SA 4.0 attribution; config: DOLT_BINARY / DOLT_DATA_DIR / etc.
Verified end-to-end against the real 1.68 GB clone (5 tickers: 133 events, 128
paired, forward calendar to 2026-08-26, BRK.B joined). Tests: 9 alignment + 7
importer + 1 skip-guarded real-clone smoke. Full suite 699 passed.
Remaining for A2: wire the daily ~02:30 ET shadow cron — deferred to pair with
the deploy-time dolt install + DOLT_DATA_DIR provisioning.
Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com>
A new /regime tab scoring how far the AI/Tech bull regime has deteriorated
toward a re-rating as a single 0-100 index with per-signal breakdown and a
7/30-day trend. Intentionally decoupled: nothing reads its output to gate or
score trades — the daily-pipeline membership is scheduling only.
- regime_monitor_service: price sub-scores (P1-P6 via Alpaca, like
market_regime), VIX + HY credit spreads via a small FRED helper, weighted
aggregation over available signals (missing source -> n/a, dropped from the
denominator), one snapshot row/day, and a ~90-day history backfill by
replaying the already-fetched series as-of each past day.
- F1/F3 fundamentals proposed by the configured grounded LLM (reuses
sentiment_provider_service config resolution), with a manual override + lock.
- regime_snapshots table (migration 011); endpoints on the existing market
router; admin-editable weights/threshold; standalone /regime page.
Data needs: prices via Alpaca, VIX/credit via FRED (optional key — signals show
n/a without it). No LLM needed for history.
Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com>
Closes the feedback loop on R:R scanner signals:
- Nightly outcome_evaluator job replays unresolved setups against daily
OHLCV bars: target_hit / stop_hit / ambiguous (same-bar, counted as
loss) / expired after OUTCOME_EVALUATION_MAX_BARS (default 30)
- Migration 004: evaluated_at + outcome_date on trade_setups
- GET /trades/performance: hit rate, expectancy (avg R), total R with
breakdowns by direction, recommended action, and confidence bucket
- New Performance page (stat cards, breakdown tables, Evaluate Now,
methodology disclosure) wired into sidebar and mobile nav
- 17 new unit tests for evaluation logic and stats aggregation
Co-Authored-By: Claude Fable 5 <noreply@anthropic.com>
dennisthiessenandClaude Opus 4.8